Notes from a talk by @stephen_wolfram at last week's ARC Prize conference about the nature of discovery: --- Wolfram argued that discovery is ultimately about finding pockets of computational reducibility inside systems that are otherwise computationally irreducible. He offered no complete theory of what makes a discovery significant. His talk moved from toy models of biology through math, physics, and machine learning, and ended with open questions about how to search for discoveries…